Update app.py

app.py

@@ -4,9 +4,9 @@ import matplotlib.pyplot as plt
 import pandas as pd
 import numpy as np
 import time
-#import tensorflow as tf
-from sklearn.metrics import accuracy_score
-from sklearn.neighbors import KNeighborsClassifier
+#mport tensorflow as tf
+#from sklearn.metrics import accuracy_score
+#from sklearn.neighbors import KNeighborsClassifier
 
 #step 1
 #(x_train, y_train), (x_test, y_test) = tf.keras.datasets.mnist.load_data()
@@ -17,4 +17,5 @@ input_module2 = gr.inputs.Slider(1, 10, step=1, label = "k")
 
 output_module1 = gr.outputs.Label(label = "Predicted Digit")
 
-output_module2 = gr.outputs.Image(label = "Predicted Probability per class")
+output_module2 = gr.outputs.Image(label = "Predicted Probability per class")
+